Instructions to use shuvankar77/sqlcoder10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder10 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "shuvankar77/sqlcoder10") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from shuvankar77/sqlcoder10: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/shuvankar77/sqlcoder10/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://shuvankar77/sqlcoder10/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/shuvankar77/sqlcoder10/resolve/main/adapter_model.safetensors
134 MB
- Xet hash:
- daf3b4528020f452f616bea99c86c13d47951c535440cc234f7b01033a38dfea
- Size of remote file:
- 134 MB
- SHA256:
- fbd0151482bfeb0624137dc73003061ec068f397f7e26a054e2ed4705ee3972f
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